is that possible to queue request one by one
crk_world at yahoo.com.cn
Mon Oct 29 10:03:29 UTC 2012
use ngx_http_cleanup_add to add a handler for each request. when a request
is done, this handler will run.
then, in the handler, get ngx_request_t of a blocked request, and run
the method is not fit for one situation, that is requests are processed all
by nginx itself, e.g, static files.
the problem for this situation is stack overflow or OFM. so i first use
this method in limit_upstream
On Mon, Oct 29, 2012 at 1:22 PM, Jossan Davis <jossandavis at gmail.com> wrote:
> thanks for your reply!
> my current solution ismodified limit_con module.i add an counter in share
> mem. when a request have a prev request it will blocked and recheck the
> counter in 500ms by using nginx timer.
> your solution is better than mine, but i still have a question .*a
> finished request is how to notify a blocked request which is in the same
> 在 2012/10/29 11:08 AM，"chen cw" <crk_world at yahoo.com.cn>写道：
>> On Fri, Oct 26, 2012 at 2:38 AM, Jossan Davis <jossandavis at gmail.com>wrote:
>>> nginx module limit_req only can limit request frequency by url param
>>> key. it delay a request by "ngx_add_timer(r->connection->write, delay)".
>>> my requirement is a little bit different. i need the next request be
>>> process immediately after the prev one have done.
>>> i have tried to use "ngx_http_cleanup_add". but it seem that the
>>> ngx_http_request_t is not in shared mem, i can't use
>>> "ngx_add_timer(r->connection->write, 0)" to notify the next request.
>> you can store the counter in share mem as module limit_req, and also
>> store blocked requests list in global queue for each worker, such as module
>> upstream_keeplive. so when you use "ngx_http_cleanup_add", you can get the
>> ngx_http_request_t in such list. I think this method meets your requirement.
>> Charles Chen
>> Software Engineer
>> Server Platforms Team at Taobao.com
>> nginx-devel mailing list
>> nginx-devel at nginx.org
> nginx-devel mailing list
> nginx-devel at nginx.org
Server Platforms Team at Taobao.com
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